Re-retrieval improves QA accuracy for retrieval failures but not extraction failures, and corpus-wide answer-string searches report that the required relational fact is absent in nearly all extraction-failure cases across all three datasets.

Re-retrieval improves QA accuracy for retrieval failures but not extraction failures, and corpus-wide answer-string searches report that the required relational fact is absent in nearly all extraction-failure cases across all three datasets. · CiteArk

Measurement results

0/6 assessed

0 supported0 disputed or conflicting6 not assessed

The complete result group stays with its claim. Assessed rows come first; their judgments do not replace the whole-claim conclusion. Expand a row for conditions, sources, and evidence history.

Each row is a measurement with its reported value, latest available observation, and cumulative evidence state.
Metric and conditions	Reported	Latest observation	Evidence judgment
intervention: augmentation	8.6 percentage points	—	Not assessed
intervention: reranking	25.3 percentage points	—	Not assessed
intervention: re-retrieval; intervention subtype not separately reported for this value	-0.5 percentage points	—	Not assessed
dataset: MuSiQue	97.7%	—	Not assessed
dataset: HotpotQA	100%	—	Not assessed
dataset: 2WikiMultihopQA	97.6%	—	Not assessed

Re-retrieval improves QA accuracy for retrieval failures but not extraction failures, and corpus-wide answer-string searches report that the required relational fact is absent in nearly all extraction-failure cases across all three datasets.

Reported and observed measurements

Assessments (0)

Runs (0)

Measurement results